Non-invasive intracranial pressure classification using strong jumping emerging patterns

Putu Wira Angriyasa, Zuherman Rustam, Wismaji Sadewo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In neurosurgery, information about condition of Intracranial Pressure (ICP) is important for diagnosing and treating brain tumor or traumatic brain injury (TBI). Invasive measurement using ICP monitoring is the standard method for getting information about Intracranial Pressure (ICP). In some case, related with availability of facility and risk of performing surgery in invasive measurement, non-invasive method is needed. In this paper, the non-invasive method for getting ICP condition uses the level of Superoxide Dismutase (SOD), Catalase (CAT), Nicotinamide Adenine Dinucleotide Phosphate (NADPH), and Malondialdehyde (MDA) as oxidative stress indicators. Using these indicators, ICP would be classified into normal, low, and high condition. For classification purpose, we propose Strong Jumping Emerging Patterns (SJEPs) as a classification method, and for discretization purpose, we use Entropy method.

Original languageEnglish
Title of host publicationICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
Pages377-380
Number of pages4
Publication statusPublished - 1 Dec 2011
Event2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011 - Jakarta, Indonesia
Duration: 17 Dec 201118 Dec 2011

Publication series

NameICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Conference

Conference2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
CountryIndonesia
CityJakarta
Period17/12/1118/12/11

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